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Reasons for and against self tracking and quantification (edit)

Revision as of 02:16, 15 June 2022

351 bytes added , 02:16, 15 June 2022

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* A few minutes each day: [[Weight tracking|Weight scale]], [[Tools for heart rate or pulse|Exercise Heart Rate Strap]], [[Tools to survey symptoms and states|Rating Mood]] at end of each day.

* Over 10 minutes each day: [[Tools for Cognitive Testing|Cognitive Tests]], [[Diet tracking]], manual [[Time tracking]], [[Tools for journaling, thoughts and note taking|Journaling]]

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Users may forget to fill out entries. [[Self assessment]] requires extra thinking and attention to mistakes. If the effort is not put in, the variable will end up with more noise and any statistical tests with it will require more data.

==== Health tracking presents privacy concerns ====

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==== Analysis algorithms are either hard to use or too incapable. ====

All apps besides OH with any ability to analyze just use linear regression. Just read an article in nature where ML was used on multiple N-of-1 studies but that approach was lacking and is difficult for the average user to set up.

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Sources like food companies will have a reason to give bad data. Persons can have bias too.

==== Negative engagement of User ====

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Such as becoming obsessed with data tracking. [[Psychological effects of tracking]] .

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Such as becoming obsessed with data tracking. [[Psychological effects of tracking]] . People do not want to find out somethings, like a genetic predisposition to a disease they can not treat. In addition who would want to drill/agonize/focus on their problems?

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~~====~~ People do not want to ~~know~~ somethings ~~====~~

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~~Like~~ a genetic predisposition to a disease they can not treat.

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~~==== Issues with [[Self assessment]] ====~~

=== References ===

DG

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